Dr. Qing (Cindy) Chang
Ph.D. Mechanical Engineering at University of Michigan
M.S. University of Wisconsin - Madison
Professor Chang joined UVA as an Associate Professor in December 2018. Prior to her position at UVA, Dr. Chang was an associate professor of Mechanical Engineering at Stony Brook University. Dr. Qing (Cindy) Chang’s research has focused on improving sustainability and efficiency of smart manufacturing systems. Her research interests include dynamic manufacturing system modeling and simulation, cyber physical systems, data-driven analysis, real-time production control, human robot collaboration in manufacturing systems, and intelligent maintenance. Dr. Chang received a CAREER award from the National Science Foundation (NSF), and three General Motors Boss Kettering Awards.
Tian Yu Joined Intelligent Systems Lab in 2018. Before that, he obtained his B.S. degree from University of Science and Technology of China in 2016, and his M.S. degree from Brown University in 2018, both in Mechanical Engineering. His research interests include production system control, human-robot collaboration in manufacturing setting and reinforcement learning etc.
Cheng Zhu joined Intelligent Systems Lab in 2018. He obtained his B.S. degree from University of Science & Technology of China in June 2014, and his M.S. degree from California State University, Northridge in July 2017, both in Electrical Engineering. He has been conducting researches on product quality analysis, human robot collaboration, robot safety etc.
Chen received bachelor's degree in mechanical engineering from Miami University in 2018, and master's degree in Mechanical and Aerospace Engineering from University of Virginia in 2020. She is now a PhD student in mechanical engineering starting from 2020. Her research projects include modeling and control of production systems, as well as applications of deep learning and reinforcement learning in smart manufacturing systems. She has a cute dog named after Nikola Tesla, the greatest inventor of all time.
Kshitij 'Horizon' Bhatta
Kshitij completed his BSME degree from University of New Mexico (UNM) in 2020 where he was the EV powertrain lead for the LoboMotorsports 2020 Formula SAE team. He then worked as a research assistant at the Chaos Lab in UNM from spring 2020 to fall 2021 where he worked on analysis and control of complex networks. He joined the Intelligent Systems Lab at the University of Virginia in Fall 2021. His research interests include production system modeling (State Space and Markov Decision Process) and control (Classical Control and Reinforcement learning methods), human-robot collaboration in manufacturing and Analysis of complex networks.
Muhammad received his BS degree (Gold Medalist) in Industrial Engineering and MS degree in Industrial Engineering (Specialization: Manufacturing Systems Engineering), both from University of Engineering and Technology, Peshawar, Pakistan. His experience also includes Shift Engineer in Dynea Pakistan Petrochemicals, Lab Engineer in College of Aeronautical Engineering, National University of Sciences and Technology (CAE-NUST), Pakistan, and Lab Engineer Department of Industrial Engineering, University of Engineering and Technology, Peshawar, Pakistan. He joined intelligent system lab in January 2022.
Dong Wook Kim (2021)
Jing Huang: PhD 2022 (Currently Research Scientist at Amazon)
Jing Zou: PhD 2019 (Currently Researcher at Alibaba Group)
Xinyan Ou: PhD 2019 (LinkedIn)
Yang Li: PhD 2014 (Currently Assistant Professor at Northwestern Polytechnical University, China)
Michael Brundage: PhD 2015 (Associate Research Engineer at UMD ARLIS)
Yu Qian: MS 2019 (Currently Engineer at Wheel Pros Inc.)
Shiyao Wang: MS 2013 (Currently Engineer at Emerson Process Management)
Qingze Yu: MS 2014 (Currently Senior production control specialist at BMW Shenyang)
Shuoshi Qiu: MS 2015 (Currently Researcher at Abbott R&D)
Ruiyao Wang: MS 2015 (Currently Mechanical Engineer, A123 System)
Tianyang Lu: MS 2015 (Project Engineer at China Automotive Systems,Inc.)
Haomin Liu: MS 2016 (Currently PhD student at University of Rochester)
Runqiao Song: MS 2017 (Currently PhD student at North Carolina State University)